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183 articles for “segmentation techniques”
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Tissue Culture Studies on Bacopa monnieri: A Review
Abstract: AbstractAs the plants goes endangered due to overexploitation and anthropogenic activities, there is necessity to develop a technique to conserve them—micropropagation is one of them. To conserve Bacopa—a high economic value contained medicinal plant—different tissue culture modes are used. The growth agents were used at different concentration and high growth of regeneration was found. This review highlights the recent development and achievements made for the multiple shoots regenerated from different …
Published in Research & Reviews : Journal of Botany · Vol. 3, Issue 3, 2014 · pp. 27–39 Read article
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The Dark Web: An Exploration of the Shadowy Corners of the Internet
Abstract: The Internet consists of two main segments: the "Surface Web" and the "Deep Web". The Surface Web encompasses all publicly accessible and indexed websites, while the Deep Web comprises unindexed pages. Within the Deep Web, the "dark web" constitutes the most substantial component, housing concealed content on the World Wide Web. To utilize it, specific settings, authentication, and software are needed. The Onion Router, or TOR, is a multi-layer encryption …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 1, 2024 · pp. 1–5 Read article
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A Comprehensive Review on Brain Tumour Classification through Deep Learning Utilizing Convolutional Neural Networks
Abstract: Abstract- Convolutional neural networks (CNNs) constitute a widely used deep learning approach that has frequently been applied to the problem of brain tumor diagnosis. Such techniques still face some critical challenges in moving towards clinic application. Brain tumours are classified using a biopsy, which is not normally done before conclusive brain surgery. The enhancement of this technology by machine learning could aid radiologists in tumour detection without the use of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 3, 2023 · pp. 24–29 Read article
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Use of Information and Communication Technology| by Medical Students: A Study of Central Library of CUSMCH
Abstract: AbstractThe use of information and communication technology (ICT) has become most influential and swift segment in library and information services. This study outlines the use of ICT by medical students and find out the significance of latest technology in central library. Presently, uses of electronic media and technologies are increased notably in healthcare profession, education and research. Medical students are often using ICT for an access to the library resources …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 3, 2014 · pp. 18–25 Read article
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Plant Leaf Sickness Recognition Using Image Processing
Abstract: This paper demonstrates the use of image processing techniques in detection of diseases in plants. The system which we have demonstrated in this technique is a software result for computerized detection and computing of the texture enumeration for the leaf diseases in plants. This processing system involves four major steps: (1) in this step we take an RGB image as input and it’s colour transformation structure is created, (2) in …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 26–31 Read article
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Effect of Fragment Size and Contention Window on the Performance of IEEE 802.11 WLANs
Abstract: Wireless communications is, by any measure, the fastest growing segment of the communications industry. The IEEE has standardized the 802.11 protocol for wireless local area networks. The IEEE 802.11 standard has defined two different access mechanisms in order to allow multiple users to access a common channel, the distributed coordination function (DCF) and a centrally controlled access mechanism called the point coordination function (PCF). DCF is a carrier sense multiple …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 2, 2016 · pp. 6–12 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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A HYBRID STEGANOGRAPHY APPROACH FOR DATA HIDING
Abstract: Steganography is the strategies for concealing an information or message inside another message or cover picture without attracting any suspect to the others and that he message must be identified by its expected beneficiary. In current terms, steganography is generally executed computationally, where cover works, for example, text records, pictures, sound documents, and video documents are changed so that a mysterious message can be inserted inside them. In this paper …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 Read article
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A Hybrid Steganography Approach for Data Hiding
Abstract: Steganography is the strategies for concealing an information or message inside another message or cover picture without attracting any suspect to the others and that he message must be identified by its expected beneficiary. In current terms, steganography is generally executed computationally, where cover works, for example, text records, pictures, sound documents, and video documents are changed so that a mysterious message can be inserted inside them. In this paper …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 1–8 Read article
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Identification of Potato Plant Leaf Disease Using Different Artificial Intelligence (AI) Techniques: A Review
Abstract: One of the nation's most vital industries is agriculture. Employment possibilities are abundant in emerging nations like India. The livelihoods of nearly 70% of the global population depend on agriculture. In this study, we have evaluatednumerous articles that have been released on potato plant leaf disease (PLD)diagnosis and classification utilising machine learning (ML)or Deep Learning (DL)methods. There are several causes of leaf diseases in plants, including bacteria, viruses, fungus, and …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 7–19 Read article
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Study on Brain Tumor Detection Using Morphological Operations in MATLAB with Graphical User Interface (GUI)
Abstract: Brain tumor detection plays a crucial role in early diagnosis and effective treatment planning. This research presents a MATLAB-based Graphical User Interface (GUI) for Brain Tumor Detection, incorporating a comprehensive pipeline of image processing techniques. The GUI provides a user-friendly platform, empowering medical professionals to accurately and efficiently analyze MRI brain scans. The GUI begins with text removal to eliminate any textual artifacts that may be present in the MRI …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 24–31 Read article
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Plant Disease Detection Using SVM
Abstract: AbstractDiseases in plants are responsible for major production and economic losses and also reduction in yield. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself, it detects the symptoms of diseases. Detection on plant is very critical for defensible agriculture. It is very challenging to monitor the plant diseases physically. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 8–12 Read article
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Polyurethane: Chemistry, Production, Applications, and Future Prospects—An Overview
Abstract: Polyurethane (PU), a class of versatile polymers, has emerged as one of the most significant materials in modern industry owing to its remarkable mechanical strength, elasticity, durability, and resistance to abrasion, chemicals, and environmental degradation. Its wide range of tunable properties has made PU indispensable across multiple sectors, including fashion, automotive, manufacturing, biomedical, coatings, and construction. This review emphasizes the diverse applications of polyurethane and explores how its unique chemistry …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 17–25 Read article
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An Abnormal Expression Detection System (AEDS) Using Deep Learning Algorithms
Abstract: In the last decade, many deep learning algorithms have achieved remarkable success and gained popularity in various computer vision tasks, including object detection, image recognition, and segmentation. This AEDS (Abnormal Expression Detection System)leverages the power of deep learning algorithms to detect abnormal facial expressions in real-time automatically. AEDS proposed two important models; those are Deep CNN and RNN. CNN is responsible for learning discriminative features from facial images and capturing …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 72–79 Read article
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Impact of Ping Flood Attack and its Mitigation Technique: A Performance Evaluation
Abstract: Security has become the need of the hour as no organization is immune to data breach. A recent survey reports that 16% of attack on network is due to denial of service attack, which prevents legitimate users from accessing services or information. This paper focuses on ping flood attack, ping of death, SYN flooding and defense mechanism to defend the nodes being attacked in real time. Ping flood attack is …
Published in Journal Of Network security · Vol. 5, Issue 1, 2017 · pp. 11–21 Read article
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Moving Vehicle Speed Determination and Number Plate Recognition through Feature Extraction
Abstract: AbstractVelocity Estimation, instead of using complex algorithms, can be easily implemented on MATLAB by some simple calculations. Speed can also be tracked using the threshold values and thus concerned authorities can be notified using the Gmail interfacing. For real time applications, some advanced hardware should be used. Nowadays traffic is a very big problem in the urban areas that has to be addressed. Video monitoring is one of the latest …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 1–3 Read article
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Vanity Plate Image Estimation of Moving Vehicles
Abstract: AbstractLicense plate recognition of automobile is concern and challenging exploration discussion thread from past little duration. It is a very important field in intelligent transportation systems (ITS). Many times, it would be very hard to recognize the proprietor of an automobile who disregards the commercial transportation law and is moving with a fast speed. The motto of license plate recognition (LPR) systems is to trace, segment and identify the vanity …
Published in Journal of Open Source Developments · Vol. 4, Issue 2, 2017 · pp. 19–27 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article